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Paper Abstract and Keywords
Presentation 2012-03-13 13:30
Mobile Application Recommendation Depending on the User's Context
Mitsuhiro Matsumoto (Osaka-u), Ryozo Kiyohara (Mitsubishi Electric), Masayuki Numao, Satoshi Kurihara (Osaka-u) AI2011-46
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, highly-functional mobile devices
such as smart phones and car navigation systems are widely used.
These are important for our daily life because we use their applications
anywhere and anytime.
With the variety of applications available on these devices, however,
it becomes more difficult to choose an appropriate application.
Therefore we need a mechanism that recommends us suitable applications,
which should depend on a user's context
because he/she uses his/her devices differently in every context.

This paper shows that it follows a power law what applications a user executes
in daily life, and proposes a novel approach to find context-aware applications
in the mobile devices.
This approach is based on the TF-IDF({\em term frequency -- inverse document
frequency}) , which is used for extracting important keywords
in a document.
Moreover, we propose an application recommendation mechanism
using this approach.
Experimental results show that this recommendation mechanism is more effective
than the mechanism using Naive Bayes.
Keyword (in Japanese) (See Japanese page) 
(in English) mobile application recommendation / context awareness / TF-IDF / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 474, AI2011-46, pp. 19-24, March 2012.
Paper # AI2011-46 
Date of Issue 2012-03-06 (AI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2011-46

Conference Information
Conference Date 2012-03-11 - 2012-03-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Jozankei View Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Social System and Information Technology 
Paper Information
Registration To AI 
Conference Code 2012-03-AI-ICS-KBS-SAI-DOCMAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mobile Application Recommendation Depending on the User's Context 
Sub Title (in English)  
Keyword(1) mobile application recommendation  
Keyword(2) context awareness  
Keyword(3) TF-IDF  
1st Author's Name Mitsuhiro Matsumoto  
1st Author's Affiliation Osaka University (Osaka-u)
2nd Author's Name Ryozo Kiyohara  
2nd Author's Affiliation Mitsubishi Electric (Mitsubishi Electric)
3rd Author's Name Masayuki Numao  
3rd Author's Affiliation Osaka University (Osaka-u)
4th Author's Name Satoshi Kurihara  
4th Author's Affiliation Osaka University (Osaka-u)
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Speaker Author-1 
Date Time 2012-03-13 13:30:00 
Presentation Time 30 minutes 
Registration for AI 
Paper # AI2011-46 
Volume (vol) vol.111 
Number (no) no.474 
Page pp.19-24 
Date of Issue 2012-03-06 (AI) 

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